Data Engineer

Medisolv • Clarksville, TN

16d

About The Position

Medisolv, a national leader in healthcare quality data management solutions, is seeking a Data Engineer/Analyst to join our growing team. We empower over 1,800 hospitals and 15,000 providers with our all-in-one ENCOR platform, helping transform patient care through meaningful analytics and data-driven performance improvements. As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and load clinical, financial and administrative healthcare data and health plan data to feed our suite of reporting and analytics products. You will assist the data team with loading and troubleshooting data issues from EHR vendor products (including but not limited to: Epic, Meditech, Cerner and EClinicalWorks). You will also assist the data team in supporting CMS quality measures (HEDIS/Stars) and fuel our downstream AI workflows.

Requirements

• 4–7+ years of experience in data engineering, data analysis, or a hybrid role.
• Strong proficiency in SQL and experience working with large, complex datasets.
• Hands-on experience with Azure and/or AWS cloud compute platforms using tools such as Snowflake, Databricks, Data Factory, Glue, Azure Functions and Lambda.
• Experience building and maintaining ETL/ELT pipelines and data models.
• Ability to analyze data, identify trends, and provide actionable insights to stakeholders.
• Ability to map payer data: Get into the weeds of core health plan files.
• Exposure to CMS & HEDIS Logic
• Experience creating dashboards and reports using tools such as Power BI or similar.
• Strong problem-solving skills and attention to detail with a focus on data accuracy and quality.
• Ability to work cross-functionally and communicate technical concepts to non-technical audiences.

Nice To Haves

• Healthcare data experience, including familiarity with clinical or regulatory data, is a plus.
• Experience with Azure and/or AWS platforms using Snowflake, Databricks, Delta Lakes, Spark, Python and other related technologies.
• Familiarity with healthcare data systems, EHRs, or regulatory reporting programs.
• Experience with advanced analytics, data modeling, and performance optimization.
• Exposure to AI/ML or predictive analytics initiatives.
• Experience with additional tools such as Power BI, or other visualization platforms.

Responsibilities

• Extract, transform, and load clinical, financial, and administrative healthcare data and health plan data.
• Assist with loading and troubleshooting data issues from EHR vendor products.
• Support CMS quality measures (HEDIS/Stars).
• Fuel downstream AI workflows.
• Investigate technical and data-related issues across EHRs and Data load platforms.
• Apply SQL querying skills to investigate data anomalies.
• Troubleshoot data pipelines to support internal operations and client deliverables.
• Perform data analysis to identify trends, discrepancies, and opportunities for improvement.
• Collaborate with cross-functional teams to gather requirements and enhance data quality and reporting outputs.
• Develop and deliver dashboards, reports, and visualizations.
• Monitor data quality, troubleshoot issues, and drive improvements in data integrity and consistency.
• Partner with stakeholders to translate data into actionable insights.
• Lead enhancements to data architecture, reporting capabilities, and data processes.
• Support advanced analytics initiatives, including predictive insights and AI-driven solutions.
• Document processes and establish best practices.

Benefits

• Help improve patient care nationwide by developing reliable data pipelines and meaningful analytics that drive better outcomes.
• Work with modern Azure-based technologies and contribute to data-driven and AI-enhanced initiatives.
• Be part of a collaborative, high-performing team shaping the future of healthcare data and reporting.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed